Member of Technical Staff, Science

Member of Technical Staff, Science Our mission is to advance humanity's ability to engineer biology. We approach this by understanding and improving AI’s application to biology across basic research, drug discovery, and biosecurity. We are a team of engineers, scientists, and operations specialists who are driven by improving capabilities and interpretability. Some of our work is showcased on benchmarks.bio . About this role. You’ll turn your understanding of a biological domain into a roadmap of benchmarks and design them with engineers. You’ll then build and manage your own scientific team using your network and internal talent infrastructure. You have (1) deep scientific expertise and experience using AI tools (2) or strong coursework in math/CS and experience working with scientists This is a high-intensity, founder-type role. Our Members of Technical Staff have built companies, run drug programs and scaled complex technical projects. Projects you might work on: - Design benchmarks with engineers and scientists, from selecting scientific questions and datasets to developing reliable graders. - Work with engineers on large-scale computing and AI inference infrastructure to evaluate models and investigate their failures. - Research new methods for evaluating scientific capabilities and measuring improvements from training. - Work with our internal data generation and drug development teams to build tasks around real experiments and research decisions. How we work. Our MTS team works in person in Mission Bay, San Francisco. We keep meetings to a minimum and are flexible about when you arrive or leave. Tight deadlines and customer commitments sometimes require late hours. Our work in use. Frontier AI labs use our benchmarks to assess biological capabilities and safeguards. Our work appears in research announcements and model cards, including: Anthropic: Claude Fable 5.1 and Mythos 5.1 system card Anthropic: Claude Opus 5.5 system card Anthropic: Advancing Claude in healthcare and life sciences xAI: Grok 4.7 model card xAI: Biosecurity at the frontier Hiring Process. Our process is typically completed within two weeks. Round 1: Introduction Round 2: Technical project matching Round 3: Take-home evaluation project (~2 hours) Round 4: Technical interview / live engineering session (1 hour) Round 5: Paid onsite project and presentation (2–3 days) Offer Compensation & Benefits 350K-500K+ OTE Equity Unlimited PTO Health, dental and vision insurance fully covered Visa sponsorship and relocation assistance 401(k) Office in Mission Bay, San Francisco Lunch and dinner provided